Private No-Code Agentic AI · ISO 27001 · SOC 2 Type 2
AI Agents That Run in
Your Infrastructure.
Deployed in Weeks, Not Months.
Private, no-code agentic AI for enterprises. Build production-ready agents on your systems, under your control, with contracts tied to measurable outcomes.
Why lowtouch.ai
Most enterprise AI projects stall on complexity, cost, or control. We solve all three.
Security
Private by Architecture
- Your data never leaves your perimeter. Ever.
- Air-gapped deployments fully supported.
- SOC 2 Type 2 & ISO 27001 certified.
Speed
No-Code, No Waiting
- Live in 4–6 weeks, not 6–12 months.
- Zero AI engineers required on your side.
- Pre-built catalog of production-ready agents.
Control
Governed Autonomy
- Every critical action requires human sign-off.
- Full thought-logging — nothing runs in the dark.
- Agentic workflows keep every action auditable.
Value
Outcome-Based Contracts
- Pay for measurable results, not licenses.
- No ROI hit? You don't pay. Simple.
- Most customers see payback in Q1.
Certified
ISO 27001
Attested
SOC 2 Type 2
Platform
The platform your security team will approve.
Latest from the AI Academy
Practical guides, research, and case studies on deploying AI automation in enterprise environments.
Claude Opus 4.7: What Anthropic’s New Frontier Model Means for Enterprise AI
Claude Opus 4.7 lands with a 13% lift on SWE-bench Verified, 3x more production tasks resolved on Rakuten SWE-Bench, and sharper long-horizon agent behaviour. Here is what it means for enterprise CTOs evaluating private, governed AI deployment — and what the benchmark gains do not change.
- Opus 4.7 delivers +13% on SWE-bench Verified, 70% on CursorBench (vs 58% for Opus 4.6), and resolves 3x more Rakuten production tasks
- New `xhigh` reasoning effort level and Task Budgets give architects explicit knobs over cost-per-outcome on long-horizon agents
- ️ Vision inputs jump to 2,576px on the long edge — 3x larger than Opus 4.6 — unlocking dense diagrams, schematics, and screenshots
- Pricing unchanged at $5/M input and $25/M output — capability gains arrive without a price step-up
- ️ Available on AWS Bedrock, Google Vertex, and Microsoft Foundry on day one — private-deployment paths stay open for regulated enterprises
Project Glasswing: Why Anthropic’s AI Cybersecurity Initiative Changes Everything
Anthropic's Project Glasswing unites AWS, Microsoft, Google, Cisco and nine other tech giants around a single mission: deploy frontier AI to find and fix critical vulnerabilities before attackers do. Here is why this initiative is the most important cybersecurity mobilization of the decade.
AI Governance Isn’t a Checkbox. It’s Your Competitive Moat.
Most enterprises treat AI governance as a compliance hurdle. The ones winning enterprise AI deals treat it as an architectural property — embedded in every agent action, human checkpoint, and audit trail. Here is how to make that shift.
From 18 Months to 6 Weeks: How No-Code AI Is Rewriting Enterprise Deployment Timelines
Enterprise AI projects are not failing because the technology is unready. They are failing because the delivery model is broken. No-code agentic platforms cut deployment timelines from 18-24 months to 4-6 weeks by shipping governance, compliance, and HITL controls as architecture, not afterthoughts.
